February 2025
Intermediate
376 pages
9h 25m
Japanese
Content preview from 仕組みからわかる大規模言語モデル 生成AI時代のソフトウェア開発入門
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マルチエージェントフレームワーク
―LangGraph―
LLMは様々な能力を持ちますが、単体のLLMではできることに限界
があります。そこで注目されているのが、複数のLLMを組み合わせて
協調動作させる「マルチエージェントシステム」です。本章では、マル
チエージェントシステムとそれを実現するフレームワークである
LangGraphについて解説します。
LangGraphは、様々なマルチエージェントアーキテクチャを実現でき
るフレームワークです。LangGraphでは、エージェント間の相互作用
をグラフとして表現することを特徴とします。単一エージェントから
水平・垂直アーキテクチャまで、幅広いシステムを構築できます。本
章では、LangGraphの基本的な使い方とその応用について説明しま
す。応用例として、自然言語シェル、訪問販売シミュレーション、エ
ージェントチームによるソフトウェア開発などを紹介します。これら
の例を通して、LangGraphを用いた多様なエージェントシステムの実
装方法を学びます。
6
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.